CONTENT CREATION
Nightly sweep to caption Airtable assets missing alt-text
Runs on a schedule, finds Airtable asset records that have no alt-text, generates one with HuggingFace, and posts a Slack summary of how many were filled and which need attention.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule fires
- ActionQuery Airtable for assets missing alt-textAirtable
- ActionGenerate captions with HuggingFace modelHugging Face
- LogicBranch on caption confidence (Done vs Needs Review)
- ActionWrite captions and status back to AirtableAirtable
- OutputPost cleanup summary to SlackSlack
What it does
On a nightly schedule, this workflow scans your Airtable asset library for records where the alt-text field is empty, generates captions for them with a HuggingFace model, and reports the cleanup results to Slack.
When to use it
Use it when you already have a large existing media library with gaps, not just new uploads. It steadily chips away at historical assets that were never described, so accessibility coverage trends toward 100 percent without a manual audit.
How it works
- 1A scheduled trigger fires once per night.
- 2Airtable is queried for asset rows where the alt-text field is blank.
- 3For each record, the image URL stored on the row is sent to a HuggingFace image-to-text model.
- 4A branch checks model confidence: high-confidence captions are written straight back to Airtable as Done; low-confidence ones are written with a Needs Review flag.
- 5A Slack message summarizes counts filled, flagged, and remaining for the team.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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